What are the hardware requirements for Llama 3.2 11B Vision Instruct Abliterated 4 Bit?

Llama 3.2 11B Vision Instruct Abliterated 4 Bit requires approximately 6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 11B Vision Instruct Abliterated 4 Bit and how large is it?

Llama 3.2 11B Vision Instruct Abliterated 4 Bit is developed by mlx-community, a model with 11b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama 3.2 11B Vision Instruct Abliterated 4 Bit?

Llama 3.2 11B Vision Instruct Abliterated 4 Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 11B Vision Instruct Abliterated 4 Bit by mlx-community — VRAM 6GB

Name: Llama 3.2 11B Vision Instruct Abliterated 4 Bit
Author: mlx-community

Llama 3.2 11B Vision Instruct Abliterated 4 Bit is an open-source language model by mlx-community. Features: 11b LLM, VRAM: 6GB, License: llama3.2, Instruction-Based.

Abliterated Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational De En Endpoints compatible Es Facebook Fr Hi Image-text-to-text Instruct It Llama Llama-3 Meta Mllama Mlx Pt Pytorch Region:us Safetensors Sharded Tensorflow Th Uncensored Vision

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated-4-bit

Llama 3.2 11B Vision Instruct Abliterated 4 Bit Parameters and Internals

LLM Name	Llama 3.2 11B Vision Instruct Abliterated 4 Bit
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated-4-bit
Base Model(s)	meta-llama/Llama-3.2-11B-Vision-Instruct meta-llama/Llama-3.2-11B-Vision-Instruct
Model Size	11b
Required VRAM	6 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	mllama
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 0.7 GB: 2-of-2
Supported Languages	en de fr it pt hi es th
Model Architecture	MllamaForConditionalGeneration
License	llama3.2
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Torch Data Type	bfloat16

Rank the Llama 3.2 11B Vision Instruct Abliterated 4 Bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 3.2 11B Vision Instruct Abliterated 4 Bit

Best Alternatives	Context / RAM	Downloads	Likes
...1B Vision Instruct FP8 Dynamic	0K / 12.6 GB	4490	22
...1B Vision Instruct FP8 Dynamic	0K / 12.6 GB	1442	24
...ion Instruct Abliterated 8 Bit	0K / 11.4 GB	152	1
...1B Vision Instruct Abliterated	0K / 21.3 GB	813	7
...a 3.2 11B Vision Instruct 4bit	0K / 6 GB	902	7
...a 3.2 11B Vision Instruct 8bit	0K / 11.4 GB	1272	9

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated-4-bit.